Causari vs How It Works

The first content-addressable ledger for AI agents. Every prompt, model, read, write and reasoning becomes an immutable causal event, captured at the wire, no agent...

RuleMesh structures regulatory requirements, maps them to controls, and specifies the evidence that proves them. Your coding agent calls it over MCP; RuleMesh never...

About Causari

The first content-addressable ledger for AI agents. Every prompt, model, read, write and reasoning becomes an immutable causal event, captured at the wire, no agent cooperation required. Trace, bisect, revert and explain every line your agents wrote. re audit reads plain git history, detects AI-authored commits from verifiable metadata ( Co-Authored-By trailers, bot authors, aider markers) and measures how many of those lines are still alive at HEAD. Every number carries its evidence class: VERIFIED (explicit metadata) is never mixed with PROBABLE (heuristic).

About How It Works

RuleMesh structures regulatory requirements, maps them to controls, and specifies the evidence that proves them. Your coding agent calls it over MCP; RuleMesh never accesses your code. Compliance requirements your engineers and AI agents can actually implement. RuleMesh defines what a regulation requires, maps it to the controls your team should implement, and specifies the evidence that proves it was done. RuleMesh has no access to your code, your cloud, or your pipeline. It answers questions about regulation over MCP, and the agent you already use (Claude Code, Cursor, Codex) does the reading and the changing; you review it like any other work.